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Title: Development of a fuzzy logic-based inherent safety index for food industries
Authors: Tadic, Danijela
Savovic, Ivan
Misita, Mirjana
Arsovski, Slavko
Milanovic, Dragan
Issue Date: 2014
Abstract: Inherent safety is a proactive approach for loss or elimination of hazard values and risk management. Expansion of safety relating to process and production in a supply chain in an uncertain environment has a critical effect on the competitive advantage of each food industrial organization. In this article, the fuzzy rating weights of each pair of the considered hazards and uncertain hazard values are described by linguistic expressions modelled by triangular fuzzy numbers. The fuzzy extent approach for the synthetic extent values of the pairwise comparison for handling fuzzy analytic hierarchical process is used to calculate the weight vector. The proposed fuzzy model is arranged in a hierarchical structure, so that the output of one interference system is used as an input for the second interference step. In the first of interference steps, the total hazard value for each identified process is calculated using the fuzzy algebra rules. In the second interference step, the inherent safety index for each process is determined on the basis of total hazard value, using the IF-THEN fuzzy logic rules. It is shown that the proposed fuzzy model is highly suitable as a decision making tool for making decisions about the inherent safety index of food industrial processes. © IMechE 2012 Reprints and permissions:
Type: article
DOI: 10.1177/0954408912466368
ISSN: 0954-4089
SCOPUS: 2-s2.0-84893491285
Appears in Collections:Faculty of Engineering, Kragujevac

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